Global Spread Research Articles

Internal drivers of the global pandemic of the Omicron variants of SARS‐CoV‐2

AbstractBackgroundThe high transmissibility of the Omicron variants of severe acute respiratory syndrome coronavirus 2 continues to impose a significant burden on public health systems worldwide. Continuous mutations in the virus challenge the efficacy of vaccines and prior immunity from other variants, posing a severe threat to human health. Therefore, there is an urgent need to predict mutations of the Omicron variants and identify key factors influencing their spread. This study investigated critical amino acid mutations of the Omicron variants using epidemiological data and the mechanisms underlying their transmission. The aim was to understand the key factors driving the spread of the Omicron variants and provide insights for effective control and prevention strategies.MethodsA total of 488,646 Omicron cases recorded between December 2021 and February 2023 were analyzed using a sliding time window and the Epi Score model, which has high accuracy for the identification of mutation sites. MutPred2, PolyPhen2 and VarSite tools were used to predict future mutations and identify factors driving the prevalence of the Omicron variants.ResultsEpi Scores showed fluctuating patterns at mutation sites, highlighting N969K, Y505H, N764K, T478K, and S371F mutations on the spike protein as significant for future prevention efforts. The spread of the Omicron variants was linked to changes in the viral entry pathway and improved angiotensin‐converting enzyme 2 (ACE2) binding and immune evasion tactics.ConclusionsThe findings of this study reveal trends in the evolution of the Omicron variants, including altered cell entry, increased affinity for ACE2, and evasion of the immune system. These factors are critical for understanding the global spread of the Omicron variants and developing effective control strategies.

A Systematic Assessment of Leishmania donovani Infection in Domestic and Wild Animal Reservoir Hosts of Zoonotic Visceral Leishmaniasis in India

Leishmaniasis is a neglected disease with a global spread that affects both domestic and wild animals in addition to people. Leishmania donovani is the suspected anthroponotic cause of visceral leishmaniasis (VL) in India, where it is an endemic disease. The reservoir hosts play a crucial role in the life cycle of the Leishmania parasite. The complicated connection between the pathogen, vector, and reservoir exhibits geographical and temporal diversity. Human-to-human and, to a lesser extent, human-to-animal transmission are the principal mechanisms for the maintenance of anthroponotic diseases. A number of animals were examined for the presence of Leishmania parasites and the findings were reviewed in order to examine the role of animal reservoirs in domestic transmission of cutaneous leishmaniasis in endemic regions of India. The analysis objective was to assess the research conducted on domestic animals’ propensity to spread L. donovani in endemic areas, with a particular emphasis on how proximity and animal density may impact the prevalence of human leishmaniasis. Species of the L. donovani complex have distinct enzootic, zoonotic, and anthroponotic life cycles that depend on the environment. The majority of Leishmania spp. are zoonotic, spreading from non-human mammals to humans. Many nations have leishmaniasis as an endemic disease, and the Indian subcontinent (ISC) has an estimated two to three lakh people who are at risk. This systematic review evaluates the gaps in our understanding of disease transmission that contradict conventional wisdom about the reservoir(s) of visceral leishmaniasis and efforts to manage it on the Indian subcontinent. Fundamental concerns in VL epidemiology and ecology will be clarified by a better understanding of L. donovani infection in domestic animals and its transfer to sandflies. A deliberate, systematic search was conducted on PubMed, Science Direct, and Google Scholar using keywords such as “Leishmania donovani”, “zoonotic visceral leishmaniasis”, and “wild animal reservoir for Leishmania donovani”. A total of 530 potentially relevant references were obtained from these databases, and 507 were not considered due to copy avoidance, irrelevant titles, research publications from nations other than India, or modified compositions. Among the remaining 23 investigations, 20 were rejected, and only 3 were included in the present study. Finally, three research papers with 867 goats, 161 cattle, 106 chickens, 26 sheep, three buffaloes, 406 dogs, and 309 rats were reported. Along with these data, studies across Asian and African countries that are considered VL-endemic areas have been discussed. According to the review, goats are the epidemic’s primary host and possible reservoir in several regions of India. In the endemic regions of the disease, some species of rodents, along with the canines, appear to be maintaining the L. donovani transmission cycle.

Exploring the Antibiofilm Effect of Sertraline in Synergy with Cinnamomum verum Essential Oil to Counteract Candida Species.

The emergence and spread of drug-resistant pathogens, resulting in antimicrobial resistance, continue to compromise our capability to handle commonly occurring infectious diseases. The rapid global spread of multi-drug-resistant pathogens, particularly systemic fungal infections, presents a significant concern, as existing antimicrobial drugs are becoming ineffective against them. In recent decades, there has been a notable increase in systemic fungal infections, primarily caused by Candida species, which are progressively developing resistance to azoles. Moreover, Candida species biofilms are among the most common in clinical settings. In particular, they adhere to biomedical devices, growing as a resilient biofilm capable of withstanding extraordinarily high antifungal concentrations. In recent years, many research programs have concentrated on the development of novel compounds with possible antimicrobial effects to address this issue, and new sources, such as plant-derived antimicrobial compounds, have been thoroughly investigated. Essential oils (EOs), among their numerous pharmacological properties, exhibit antifungal, antibacterial, and antiviral activities and have been examined at a global scale as the possible origin of novel antimicrobial compounds. A recent work carried out by our research group concerned the synergistic antibacterial activities of commercially available and chemically characterized Cinnamomum verum L. essential oil (C. verum EO) in association with sertraline, a selective serotonin reuptake inhibitor whose repositioning as a non-antibiotic drug has been explored over the years with encouraging results. The aim of this work was to explore the synergistic effects of C. verum EO with sertraline on both planktonic and sessile Candida species cells. Susceptibility testing and testing of the synergism of sertraline and C. verum EO against planktonic and sessile cells were performed using a broth microdilution assay and checkerboard methods. A synergistic effect was evident in both the planktonic cells and mature biofilms, with significant reductions in fungal viability. Indeed, the fractional inhibitory concentration index (FICI) was lower than 0.5 for all the associations, thus indicating significant synergism of the associations with the Candida strains examined. Moreover, the concentrations of sertraline able to inhibit Candida spp. strain growth and biofilm formation significantly decreased when it was used in combination with C. verum EO for all the strains considered, with a reduction percentage in the amount of each associated component ranging from 87.5% to 97%.

LLMv2: A Language Model with Holistic Hidden Markov Models and Machine Learning for Fake News Detection

The usage of social media has expanded in recent years, allowing them to get news from around the world at any time. This in turn, is questioning the authenticity of the news that is being spread both globally and locally. Fake news such as misinformation, gossips is widely disseminated on social media having a negative impact on society and lives of the people. As a result, much study is being is carried out in order to detect them. The data can be clustered into smaller groups based on the type of news using a few learning approaches. A novel method has been proposed for prediction of the authenticity of the news of the LIAR dataset [1] using Logistic Regression and a boosting algorithm eXtreme Gradient Boosting (XGBoost) for efficacy, computational pace and performance of the model. This method detects fake news by analyzing the semantic and syntactic connections between sentences. Various graphs (like heat maps, bar charts) are plotted to show the distribution of the authenticity of news and also to compare the predicted result with the actual one. The proposed strategy addresses the effects of the hoax's global spread. People are hungry for information to defend themselves and others in a community where humans are confronting large-scale risks from harms. Some key traits such as Sentimental features, Content-based features, Frequency features, and Hybrid features (combinations of two or more features) are incorporated for early prediction of fake news spread via social media. The liar dataset is used to train the method and tested for accurate results. The experimental accuracy is found out to be 98%. Key Words: fake news detection, social media, logistic regression, XG boost, natural language processing

Transfer of antibiotic resistance genes from soil to rice in paddy field

The global spread and distribution of antibiotic resistance genes (ARGs) has received much attention whereas knowledge about the transmission of ARGs from one matrix to another is still insufficient. In this study, the paddy fields fertilized with chemical fertilizer, swine compost, and no fertilizer were investigated to assess the transfer of ARGs from soil to rice. Soil and plant samples were collected at day 0, 7, 30 and 79 representing various stages of paddy growth. High throughput qPCR was applied to quantify ARGs using a set of 144 primers. Gene copy number of ARGs measured in soil initially decreased and then increased in soil with no fertilizer and chemical fertilizer, indicating that crop planting and flooding conditions did influence the ARGs profiles in soil. Application of swine compost significantly enhanced the relative abundance and gene copy number of ARGs in paddy soil. Rice seedlings contained substantial amount of ARGs and their relative abundance continually decreased after transplant. Compared with initial stage, detection frequencies of ARGs increased in soil without swine compost at harvest time (day 79), indicating the transmission of ARGs from irrigation water to soil. Detection frequencies of ARGs increased in soil and rice root with swine compost at harvest time, indicating the transfer of ARGs from swine compost to soil and rice root. There was no significant difference in abundance and diversity of ARGs in rice grains with these three different fertilizations. The source of the ARGs in rice grain still needs further exploration.

Smart Nanozymes for Diagnosis of Bacterial Infection: The Next Frontier from Laboratory to Bedside Testing.

The global spread of infectious diseases caused by pathogenic bacteria significantly poses public health concerns, and methods for sensitive, selective, and facile diagnosis of bacteria can efficiently prevent deterioration and further spreading of the infections. The advent of nanozymes has broadened the spectrum of alternatives for diagnosing bacterial infections. Compared to natural enzymes, nanozymes exhibit the same enzymatic characteristics but offer greater economic efficiency, enhanced durability, and adjustable dimensions. The importance of early diagnosis of bacterial infection and conventional diagnostic approaches is introduced. Subsequently, the review elucidates the definition, properties, and catalytic mechanism of nanozymes. Eventually, the detailed application of nanozymes in detecting bacteria is explored, highlighting their utilization as biosensors that allow for accelerated and highly sensitive identification of bacterial infections and reflecting on the potential of nanozyme-based bacterial detection as a point-of-care testing (POCT) tool. A brief summary of obstacles and future perspectives in this field is presented at the conclusion of this review.

A broad-spectrum vaccine candidate against H5 viruses bearing different sub-clade 2.3.4.4 HA genes

The global spread of H5 clade 2.3.4.4 highly pathogenic avian influenza (HPAI) viruses threatens poultry and public health. The continuous circulation of these viruses has led to their considerable genetic and antigenic evolution, resulting in the formation of eight subclades (2.3.4.4a–h). Here, we examined the antigenic sites that determine the antigenic differences between two H5 vaccine strains, H5-Re8 (clade 2.3.4.4g) and H5-Re11 (clade 2.3.4.4h). Epitope mapping data revealed that all eight identified antigenic sites were located within two classical antigenic regions, with five sites in region A (positions 115, 120, 124, 126, and 140) and three in region B (positions 151, 156, and 185). Through antigenic cartography analysis of mutants with varying numbers of substitutions, we confirmed that a combination of mutations in these eight sites reverses the antigenicity of H5-Re11 to that of H5-Re8, and vice versa. More importantly, our analyses identified H5-Re11_Q115L/R120S/A156T (H5-Re11 + 3) as a promising candidate for a broad-spectrum vaccine, positioned centrally in the antigenic map, and offering potential universal protection against all variants within the clade 2.3.4.4. H5-Re11 + 3 serum has better cross-reactivity than sera generated with other 2.3.4.4 vaccines, and H5-Re11 + 3 vaccine provided 100% protection of chickens against antigenically drifted H5 viruses from various 2.3.4.4 antigenic groups. Our findings suggest that antigenic regions A and B are immunodominant in H5 viruses, and that antigenic cartography-guided vaccine design is a promising strategy for selecting a broad-spectrum vaccine.

Phylogeography and reassortment patterns of human influenza A viruses in sub-Saharan Africa

The role of sub-Saharan Africa in the global spread of influenza viruses remains unclear due to insufficient spatiotemporal sequence data. Here, we analyzed 222 codon-complete sequences of influenza A viruses (IAVs) sampled between 2011 and 2013 from five countries across sub-Saharan Africa (Kenya, Zambia, Mali, Gambia, and South Africa); these genomes were compared with 1209 contemporaneous global genomes using phylogeographical approaches. The spread of influenza in sub-Saharan Africa was characterized by (i) multiple introductions of IAVs into the region over consecutive influenza seasons, with viral importations originating from multiple global geographical regions, some of which persisted in circulation as intra-subtype reassortants for multiple seasons, (ii) virus transfer between sub-Saharan African countries, and (iii) virus export from sub-Saharan Africa to other geographical regions. Despite sparse data from influenza surveillance in sub-Saharan Africa, our findings support the notion that influenza viruses persist as temporally structured migrating metapopulations in which new virus strains can emerge in any geographical region, including in sub-Saharan Africa; these lineages may have been capable of dissemination to other continents through a globally migrating virus population. Further knowledge of the viral lineages that circulate within understudied sub-Saharan Africa regions is required to inform vaccination strategies in those regions.

Biomass of invasive plants as a resource for the development of the bioeconomy

The global spread of invasive plants is an important environmental problem and a real threat to biological diversity, with significant impacts on agriculture, forestry, and human and animal health. Invasive plant eradication produces large amounts of plant biomass, which should be safely utilized. The study reviews possibilities for using biomass of invasive plant species in the bioeconomy to safely convert them to items of value. Invasive plant biomass can be used as fuel or for energy production applying either biochemical or thermochemical processing technologies. The biomass of invasive plants also can be used for energy production or isolation of biologically active components. Invasive plants contain many groups of substances providing their defense potential against predators; these substances participate in metabolic regulation processes and others. Amongst the substances of interest for bioeconomy are lipids, polyphenols, alkaloids, carbohydrates, plant fibers, and essential oils. In the development of invasive plant biomass utilization strategies, the bio-based value pyramid and the waste hierarchy should be considered. Scientific sound strategies of invasive plant management will limit their spread and provide economic benefits via their eradication.

Plasmid-mediated acquisition and chromosomal integration of blaCTX-M-14 in a subclade of Escherichia coli ST131-H30 clade C1.

Escherichia coli ST131 is a multidrug-resistant lineage associated with the global spread of extended-spectrum β-lactamase-producing organisms. Particularly, ST131 clade C1 is the most predominant clade in Japan, harboring blaCTX-M-14 at a high frequency. However, the process of resistance gene acquisition and spread remains unclear. Here, we performed whole-genome sequencing of 19 E. coli strains belonging to 12 STs and 12 fimH types collected between 1997 and 2016. Additionally, we analyzed the full-length genome sequences of 96 ST131-H30 clade C0 and C1 strains, including those obtained from this study and those registered in public databases, to understand how ST131 clade C1 acquired and spread blaCTX-M-14. We detected conjugative IncFII plasmids and IncB/O/K/Z plasmids carrying blaCTX-M-14 in diverse genetic lineages of E. coli strains from the 1990s to the 2010s, suggesting that these plasmids played an important role in the spread of blaCTX-M-14. Molecular phylogenetic and molecular clock analyses of the 96 ST131-H30 clade C0 and C1 strains identified 8 subclades. Strains harboring blaCTX-M-14 were clustered in subclades 4 and 5, and it was inferred that clade C1 acquired blaCTX-M-14 around 1993. All 34 strains belonging to subclade 5 possessed blaCTX-M-14 with ISEcp1 upstream at the same chromosomal position, indicating their common ancestor acquired blaCTX-M-14 in a single ISEcp1-mediated transposition event during the early formation of the subclade around 1999. Therefore, both the horizontal transfer of plasmids carrying blaCTX-M-14 to diverse genetic lineages and chromosomal integration in the predominant genetic lineage have contributed to the spread of blaCTX-M-14.

Efficacy of lyophilized Lactobacillus sakei as a potential candidate for preventing carbapenem-resistant Klebsiella infection

BackgroundAntimicrobial resistance is considered one of the greatest threats to human health, according to the World Health Organization (WHO). Gram-negative bacteria, especially carbapenem-resistant Enterobacteriaceae (CRE), have become a significant concern in antimicrobial-resistant bacteria’s global emergence and spread. Among CRE pathogens, carbapenem-resistant Klebsiella pneumoniae (CRKP) has recently been reported as a highly infectious strain associated with high mortality and morbidity in adults and immunocompromised patients. Additionally, CRKP-related infections are challenging to treat, as carbapenems are the last resort of antibiotics. Therefore, developing novel drugs with different mechanisms of action from existing drugs is urgently required to defeat this lethal menace. Under such circumstances, probiotics can be therapeutic candidates for inhibiting pathogens. Thus, our research team has been focusing on probiotics for a long time to develop potential anti-CRKP drug agents.MethodsAfter extensive efforts, we finally found a novel probiotic strain, Lactobacillus sakei PMC104, suitable for treating CRKP infection. It was isolated from kimchi. As part of our expansion into therapeutic development, we evaluated the L. sakei strain effect against CRKP pathogens in both in vitro and in vivo experiments. Moreover, we conducted media optimization at food grade and then established a scale-up process on a pilot scale. Subsequently, a lyophilizate was obtained and used in a mouse model infected with CRKP.ResultsData demonstrated that the L. sakei strain has an inhibitory effect against CRKP infection both in in vitro and in vivo experiments and also increases the level of short-chain fatty acids in the feces of mice after receiving L. sakei strain treatment for 10 days. Furthermore, treatment with L. sakei powder remarkably diminished body weight loss, mortality, and illness severity in CRKP-infected mice, showing a preventive effect of our PMC 104 against CRKP infection.DiscussionOur results demonstrate the potential therapeutic effect of our candidate probiotic strain against CRKP, suggesting that L. sakei PMC 104 could be considered an antimicrobial candidate for treating CRKP infections. However, extensive studies, including additional toxicity tests and clinical trials, are still essential to develop it as a new anti-CRKP therapeutic agent.

SARS-CoV-2 JN.1 variant evasion of IGHV3-53/3-66 B cell germlines.

The severe acute respiratory syndrome coronavirus 2 variant JN.1 recently emerged as the dominant variant despite having only one amino acid change on the spike (S) protein receptor binding domain (RBD) compared with the ancestral BA.2.86, which never represented more than 5% of global variants. To define at the molecular level the JN.1 ability to spread globally, we interrogated a panel of 899 neutralizing human monoclonal antibodies. Our data show that the single leucine-455-to-serine mutation in the JN.1 spike protein RBD unleashed the global spread of JN.1, likely occurring by elimination of more than 70% of the neutralizing antibodies mediated by IGHV3-53/3-66 germlines. However, the resilience of class 3 antibodies with low neutralization potency but strong Fc functions may explain the absence of JN.1 severe disease.

A visualized and bibliometric analysis of nursing research during the COVID-19 pandemic.

The global spread of Coronavirus disease 2019 (COVID-19) has been increasing since December 2019. A total of 8460 publications were obtained from the Web of Science Core Collection from 2019 to 2023, providing insights into the progress of nursing research throughout the COVID-19 pandemic. Bibliometric analysis was conducted on these articles using CiteSpace. The analysis focused on examining the distribution of these publications in terms of space and time, distribution of authors, subject categories, distribution of topics, and cited references. These results may be explained from 3 perspectives. Initially, the number of yearly publications on nursing research consistently increased during the COVID-19 pandemic. Furthermore, a co-occurrence analysis of the countries and the authors revealed that certain countries, including the United States, China, and England, have successfully implemented organized and standardized nursing models. These countries also have well-developed and established nursing research systems. Notably, academic communities in specific regions, such as the team led by MD Stefan Gravenstein, Mor Vincent, and White Elizabeth at Brown University in the United States, have emerged as leaders in this field. Furthermore, examining the papers' subject categories and topic distribution indicate that nursing during the COVID-19 pandemic has been predominantly interdisciplinary, encompassing various disciplines such as clinical medicine, essential medicine, psychology, public health management, and even telematics science. Our study provided valuable insights into acquiring knowledge on nursing research during the COVID-19 pandemic, pinpointed possible partners for researchers interested in nursing, and uncovered prevalent research patterns and popular subjects.

Optimization and performance analytics of global aircraft-based wastewater surveillance networks.

Aircraft wastewater surveillance has been proposed as a novel approach to monitor the global spread of pathogens. Here we develop a computational framework to provide actionable information for designing and estimating the effectiveness of global aircraft-based wastewater surveillance networks (WWSNs). We study respiratory diseases of varying transmission potentials and find that networks of 10 to 20 strategically placed wastewater sentinel sites can provide timely situational awareness and function effectively as an early warning system. The model identifies potential blind spots and suggests optimization strategies to increase WWSNs effectiveness while minimizing resource use. Our findings highlight that increasing the number of sentinel sites beyond a critical threshold does not proportionately improve WWSNs capabilities, stressing the importance of resource optimization. We show through retrospective analyses that WWSNs can significantly shorten the detection time for emerging pathogens. The presented approach offers a realistic analytic framework for the analysis of WWSNs at airports.

Chitin synthase genes of Aedes albopictus and their effects on development of pupae.

The invasive species Aedes albopictus is a major vector of several arboviruses. The global spread of this species seriously threatens human health. Insecticide resistance is an increasing problem worldwide that limits the efficacy of mosquito control. As the major structural component of cuticles, chitin is indispensable to insects. Chitin synthase (CHS) is the enzyme that catalyzes the biosynthesis of chitin at the final step. In this study, two CHS genes of Aedesalbopictus (AaCHS1 and AaCHS2) were identified and their basic characteristics were evaluated via bioinformatics analysis. The highest abundance of AaCHS1 transcripts was detected in pupae, whereas that of AaCHS2 transcripts was detected in females; the highest expression levels of AaCHS1 and AaCHS2 were found in the epidermis and the midgut of pupae, respectively. The survival and emergence rates of pupae were significantly reduced after the injection of double-stranded RNA of AaCHS1 or AaCHS2, indicating that both AaCHS1 and AaCHS2 play crucial roles in the pupal development. In addition, the chitin content of pupae was obviously decreased after the suppression of AaCHS1expression by RNA interference (RNAi) treatment. This influence of the RNAi treatment was further supported by the reduced chitin thickness and weakened chitin fluorescence signal in the new cuticle. The midgut of pupae presented a reduced intensity of the chitin fluorescence signal along with RNAi treatment specific to AaCHS2 expression. The results of this study indicate that CHS genes may be suitable as molecular targets used for controlling mosquitoes.

Surge in Ceftriaxone-Resistant Neisseria gonorrhoeae FC428-Like Strains, Asia-Pacific Region, 2015-2022.

Ceftriaxone-resistant Neisseria gonorrhoeae FC428-like strains have disseminated across the Asia-Pacific region, with a continuous rise in prevalence during 2015-2022. To mitigate the effect of these strains, we advocate for enhanced molecular diagnostics, expanded surveillance networks, and a regionally coordinated effort to combat the global spread of FC428-like strains.

Pertussis upsurge, age shift and vaccine escape post-COVID-19 caused by ptxP3 macrolide-resistant Bordetella pertussis MT28 clone in China

ObjectivesChina has experienced a notable upsurge in pertussis cases post-COVID-19, alongside an age shift to older children, increased vaccine escape, and a notable rise in the prevalence of macrolide-resistant Bordetella pertussis. Here, we present a genomic epidemiological investigation of these events. MethodsWe performed a retrospective observational study using culture-positive B pertussis isolated in Shanghai, China, from 2016 to 2024. We analysed strain and pertussis epidemiology dynamics by integrating whole-genome sequencing of 723 strains with antimicrobial susceptibility, transcriptomic profile, and clinical data. We compared the genome sequences of Shanghai strains with 6450 Chinese and global strains. ResultsFrom pre-COVID-19 (before December 2019) to post-COVID-19, patients shifted from predominantly infants (90%, 397/442) to a higher proportion of infections in older children (infant: 16%, 132/844), with the share of vaccinated individuals surging from 31% (107/340) to 88% (664/756). The macrolide-resistant Bordetella pertussis prevalence increased from 60% (267/447) to 98% (830/845). The emergence and expansion of a ptxP3-lineage macrolide-resistant clone, MR-MT28, which is uniquely capable of causing substantial infections among older children and vaccinated individuals, was temporally strongly associated with the pertussis upsurge and epidemiological transition. Although MR-MT28 showed increased expression of genes encoding pertussis toxin, it was associated with significantly milder clinical symptoms and a lower hospitalization rate. MR-MT28 likely originated in China around 2016, after acquiring several key mutations, including a novel prn150 allele, and has been detected across multiple regions in China. In addition, 26% (50/195) of MR-MT28 has evolved into predicted Pertactin (PRN)-deficient strains, with an IS481 insertion being the predominant mechanism. Discussion: We report that the post-COVID-19 upsurge of pertussis in China is associated with ptxP3-MR-MT28, and provide evidence that pathogen evolution is likely the primary factor driving + pertussis upsurge, age shift, and vaccine escape. MR-MT28 poses a high risk of global spread and warrants global surveillance.

Diagnostic Strategies in the Era of Monkeypox Resurgence: A Comprehensive Analysis.

The resurgence of monkeypox (Mpox), an orthopoxvirus infection closely related to smallpox, presents a significant global health challenge. This study presents a comprehensive overview of Mpox, focusing on its clinical manifestations, diagnostic strategies, and testing methodologies. A thorough review of the literature and available data on Mpox, emphasizing diagnostic assays, clinical indicators, and laboratory testing, constitutes the core of this analysis. The study involves insights from Mpox patients and healthcare professionals engaged in its diagnosis and management. Contextualizing the research within the global spread of Mpox addresses the complexities associated with the diagnosis of the disease. The findings illuminate diverse Mpox diagnostic techniques, encompassing viral culture, immunological methods, serology,quantitative polymerase chain reaction (qPCR), electron microscopy, and advanced technologies such as artificial intelligence (AI) and the GeneXpert system. qPCR is highlighted as the benchmark for MPXV detection and quantification. These diagnostic advancements have significantly enhanced the precision and efficiency of Mpox diagnosis, facilitating prompt identification and treatment of infected individuals. The study underscores the critical importance of accurate and timely diagnosis, proper handling and transportation of clinical specimens, and the imperative for point-of-care (POC) testing to control the global spread of Mpox.

‘The Emperor of All Maladies, the King of Terrors’: The Violent Somatechnics of Cancer

This article considers the current worldwide cancer epidemic as shaped through complex somatechnical intra-actions between the intimately fleshy suffering of individual bodies and structural violence exerted through carcinogenic necrotechnologies such as pesticides. Additionally, it unpacks the epistemologies of ignorance that characterise contemporary cancer imaginaries in the west by reflecting on how they operate through the widespread deployment of warfare metaphors; metaphors that, in the twenty-first century, have morphed into ‘war against cancer-as-terror(ist)’- images. United States oncologist Siddhartha Mukherjee’s bestselling book, The Emperor of All Maladies: A Biography of Cancer (2011) – also the winner of the Guardian’s non-fiction book award – figures as a nodal point for the ways in which mainstream western cancer narratives and biomedical models obscure the links between cancer and what anthropologist-chemist Anastasia Karakasidou calls chemical modernity; that is, the global spread of carcinogens as a consequence of the worldwide racial capitalist transformations of agriculture and production through chemicalisation. Investigating how epistemologies of ignorance work at the levels of cancer biology, cancer treatment, and environmental carcinogenesis, this article at the same time also demonstrates how the somatechnical lens makes it possible to analyse the intertwined operations of violence, power, technologies, and bodies at all of these levels. This analysis is then complemented by a contemplation of the conative vitality of bodily matter that ontologically accounts for the chiasmatic two-way process between techné and soma that is central to a somatechnical understanding of cancerous embodiment. This article also uses autobiographical material to reflect upon the ways in which epistemologies of ignorance and their matching stories of cancer as natural pathology/enemy/doppelgänger/terrorist are nourished at the individual level of experience of cancer patients and their companions and carers.

DNA computing and meta-heuristic-based algorithm for big data task scheduling in cloud computing

With the advent of cloud computing, there is a need to enhance both the methods and algorithms of big data workloads for task scheduling. Due to the global spread of services with changing task load circumstances and different cloud client demands, big data task scheduling in cloud systems is a time-consuming process. The proposed approach emphasises the necessity for efficient big data task scheduling in the cloud computing, which exacerbate data processing. Virtual machines frequently utilise all three types of physical resources: CPU, memory, and storage. Big data task scheduling is one of the most important implications of cloud computing application resource management, and this research work meticulously offers a task scheduling technique for advancing cloud computing.